首页    期刊浏览 2025年02月27日 星期四
登录注册

文章基本信息

  • 标题:Tweeting Fever: Are Tweet Extracts a Valid Surrogate Data Source for Dengue Fever?
  • 作者:Jacqueline S. Coberly ; Clayton R. Fink ; Eugene Elbert
  • 期刊名称:Online Journal of Public Health Informatics
  • 电子版ISSN:1947-2579
  • 出版年度:2013
  • 卷号:5
  • 期号:1
  • 语种:English
  • 出版社:University of Illinois at Chicago
  • 摘要:This abstract describes a study that examined whether Twitter data extracts could be used effectively as a surrogate data source for dengue fever for electronic disease surveillance. Tweets containing a medically-relevant reference to fever were compared to fever and dengue fever incidence data as identified by local and national health authorities and found to be statistically significantly correlated with both incidence data sets. The results suggest that Twitter extracts may provide a valid and timely surrogate data source to monitor dengue fever. Further study is warranted.
Loading...
联系我们|关于我们|网站声明
国家哲学社会科学文献中心版权所有